System architecture & feature design for engineering a web-based travel advisor system

Amir Maddah, Manolya Kavakli

Research output: Contribution to journalArticlepeer-review


Many Advisor Systems have been designed and developed to assist us in decision-making, each with their strengths and weaknesses. A popular type of Advisor systems is Travel Advisor systems that assist travelers in their travel arrangements. We have designed and implemented a Travel Advisor system to assist travelers, evaluating a number of factors after analyzing the features of other Travel Advisor systems. These factors are travelers' budgets, distance, their friends' interests, individual and group interests, dislikes, transportation mode and travel histories. We demonstrate the validity of the solution using case studies and usability testing results. In this study, our major goal is to measure the system's usability both with participants who previously travelled to the location and with participants who have never been there to investigate if familiarity correlates with positive rating of the system features. Our findings state that familiarity with the location correlates with positive rating of system's features.

Original languageEnglish
Pages (from-to)115-121
Number of pages7
JournalInternational Journal of Networked and Distributed Computing
Issue number2
Publication statusPublished - 1 Apr 2014

Bibliographical note

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  • Advisor systems
  • Travel advisor systems


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